Organism and Gene: The protein is encoded by the gene SPCC188.09c in Schizosaccharomyces pombe. This organism is a model for studying cellular processes such as cell cycle regulation, DNA repair, and sexual differentiation .
Protein Function: While the exact function of SPCC188.09c is not fully characterized, it is predicted to be involved in cell surface interactions, possibly facilitating cell agglutination during mating processes. Cell agglutination is a critical step in the sexual cycle of yeast, allowing cells to adhere and eventually fuse .
Production Method: The recombinant form of SPCC188.09c is produced in yeast. This method allows for high expression levels and proper post-translational modifications, such as glycosylation, which are important for the protein's function .
Purity and Form: The recombinant protein is available in high purity, typically produced as a partial sequence to focus on specific functional domains .
Cell Agglutination and Mating: In Schizosaccharomyces pombe, cell agglutination is a key step in the mating process, followed by cell fusion and meiosis. Proteins like SPCC188.09c are crucial for these interactions .
Potential Applications: Understanding the role of SPCC188.09c in cell agglutination could provide insights into mechanisms of cell-cell interactions and adhesion, which are relevant in various biological contexts, including development and disease .
KEGG: spo:SPCC188.09c
STRING: 4896.SPCC188.09c.1
SPCC188.09c is a protein-coding gene in Schizosaccharomyces pombe (fission yeast) with Entrez Gene ID 2539201. The gene encodes a predicted cell surface glycoprotein with mRNA sequence NM_001023202.2 and protein sequence NP_588212.1 . The gene was identified and annotated as part of the comprehensive genome sequencing project for S. pombe conducted by Wood et al. and published in Nature .
To characterize this gene in your research, standard molecular biology techniques should be employed, including PCR amplification of the gene sequence from genomic DNA, followed by sequence verification against reference databases. For expression analysis, quantitative PCR (qPCR) with gene-specific primers is recommended, comparing expression levels across different growth conditions and cell cycle stages.
For recombinant expression of SPCC188.09c, several vector systems can be employed depending on your experimental goals. For homologous expression within S. pombe, pREP series vectors offer thiamine-repressible expression control, which allows for regulated protein production. The specific vector selection should be based on the required expression level (pREP1 for high expression, pREP41 for moderate, and pREP81 for low expression).
For experimental protocols, transform S. pombe cells using the lithium acetate method with the following modifications:
Culture cells to mid-log phase (OD600 0.5-0.7) in appropriate media
Harvest cells by centrifugation at 3000g for 5 minutes
Wash with 0.1M lithium acetate
Resuspend in transformation mixture containing the vector
Heat shock at 42°C for 15 minutes
Plate on selective media lacking appropriate nutrients
For heterologous expression in E. coli, commercially available cDNA ORF clones can serve as starting material, with subsequent subcloning into expression vectors containing appropriate tags for purification .
Schizosaccharomyces pombe offers distinct advantages for studying cell surface proteins compared to Saccharomyces cerevisiae. S. pombe is more similar to humans in several aspects of cellular biology, including more complex centromeres, origins of replication, certain histone modifications, and specifics of cell-cycle control . These similarities make S. pombe potentially more relevant for translational research.
When designing experiments to study cell surface proteins in S. pombe versus S. cerevisiae, consider these methodological differences:
Cell wall composition: S. pombe has primarily α-1,3-glucan and β-1,3-glucan, requiring different enzymatic treatments for spheroplast preparation:
For S. pombe: Use Zymolyase-20T supplemented with Novozyme 234
For S. cerevisiae: Standard Zymolyase-100T is usually sufficient
Membrane fractionation: S. pombe requires stronger mechanical disruption:
Use glass bead homogenization with 8-10 cycles of 30-second vortexing with intermittent cooling
Protein expression systems: For S. pombe, thiamine-repressible promoters (nmt1) offer tight regulation, while S. cerevisiae often employs galactose-inducible systems.
For comprehensive functional characterization of SPCC188.09c, a multi-pronged approach is recommended, combining gene deletion, controlled expression, and protein localization studies. The experimental workflow should include:
CRISPR-Cas9 mediated gene deletion:
Design guide RNAs targeting the 5' and 3' regions of SPCC188.09c
Include homology-directed repair template with selectable marker
Verify deletion by PCR and sequencing
Phenotypic analysis of the deletion mutant:
Growth rate measurement in different media and stress conditions
Cell morphology assessment through microscopy
Cell wall integrity tests using calcofluor white and congo red sensitivity
Cell agglutination assays with quantitative measurement
Protein localization studies:
C-terminal tagging with GFP or mCherry via homologous recombination
Live cell imaging across different cell cycle stages
Co-localization with established cell membrane markers
Controlled expression studies:
Use the nmt1 promoter system with varying strengths (3X repression levels)
Analyze dose-dependent phenotypes
Measure impact on cell surface properties through atomic force microscopy
When designing these experiments, ensure proper controls are included and perform multiple biological replicates to reduce experimental uncertainty3. Adjust experimental parameters systematically to identify optimal conditions for each assay.
S. pombe presents an excellent model for recombination studies that may elucidate SPCC188.09c function, particularly if this cell surface protein plays a role in cell-cell recognition during mating or meiosis. To investigate this:
Design a recombination assay using the following approach:
Create strains with different selectable markers flanking the SPCC188.09c locus
Induce meiosis using nitrogen starvation protocols
Measure recombination frequency in wild-type versus SPCC188.09c mutant backgrounds
Analyze chromosome dynamics during meiosis:
Utilize the horsetail movement phase unique to S. pombe meiosis
Track telomere movement using fluorescent tags
Compare dynamics in wild-type versus mutant cells
Importantly, S. pombe lacks a fully developed synaptonemal complex and crossover interference, allowing for study of essential recombination features without these complexities . The horsetail movement during meiosis requires dynein components (Dhc1, Dlc1), dynactin component (Ssm4), and SPB components (Mcp6, Kms1) . When designing experiments to track this process:
Use live-cell imaging with fluorescently tagged chromosomal regions
Measure movement parameters:
Velocity of nuclear movement
Duration of horsetail phase
Pairing efficiency of homologous regions
Compare results between wild-type and SPCC188.09c mutant cells to determine if this cell surface protein affects cell-cell communication during meiosis.
When analyzing localization data for SPCC188.09c protein, implement rigorous quantitative approaches rather than relying solely on qualitative observations. Follow this methodological framework:
Image acquisition protocol:
Capture Z-stack images (minimum 0.3μm intervals)
Obtain multiple fields (>10) per condition
Include appropriate fluorescent controls for background subtraction
Quantitative analysis workflow:
Perform deconvolution to improve signal-to-noise ratio
Apply consistent thresholding across all samples
Measure fluorescence intensity distribution across cell compartments
Calculate Pearson's correlation coefficient for co-localization studies
Statistical validation:
Analyze minimum 100 cells per condition
Perform appropriate statistical tests (ANOVA with post-hoc tests)
Plot data using box plots or violin plots rather than bar graphs to show data distribution
When presenting results, create quantitative tables showing:
| Cellular Compartment | Percentage of Total Signal | Co-localization Coefficient |
|---|---|---|
| Plasma membrane | Value ± SD | Value ± SD |
| Endoplasmic reticulum | Value ± SD | Value ± SD |
| Golgi apparatus | Value ± SD | Value ± SD |
| Endosomal system | Value ± SD | Value ± SD |
| Cytoplasm | Value ± SD | Value ± SD |
To reduce experimental uncertainty, perform multiple trials under varied conditions, such as different growth phases and stress conditions, to capture dynamic localization patterns3.
When confronting contradictory findings regarding SPCC188.09c function, implement a systematic troubleshooting approach:
Validate strain authenticity:
Sequence verify the SPCC188.09c locus in all strains
Check for second-site suppressors through whole-genome sequencing
Create fresh deletion/tagging constructs with alternative selection markers
Cross-validate with complementary techniques:
If microscopy and biochemical fractionation show different localization patterns, employ orthogonal methods:
Immunogold electron microscopy for high-resolution localization
Split-GFP complementation assays for protein-protein interactions
Mass spectrometry of purified membrane fractions
Consider condition-dependent functions:
Test function under various stress conditions:
Osmotic stress (0.4M-1.2M KCl or sorbitol)
Temperature stress (20°C, 30°C, 37°C)
Cell wall stress (calcofluor white, congo red)
Stationary phase versus logarithmic growth
Create an experimental matrix to systematically test all variables:
| Variable Category | Specific Conditions to Test | Measurements |
|---|---|---|
| Growth phase | Log, early stationary, late stationary | Protein levels, localization pattern |
| Media composition | Rich, minimal, carbon limitation | Expression level, phenotypic effects |
| Stress conditions | Cell wall, osmotic, oxidative | Viability, morphology changes |
| Genetic background | Wild-type, related mutants, suppressors | Synthetic interactions |
When interpreting data, be alert to potential errors in experimental setup. As noted in the AP Physics experimental design guidance, carefully reading and understanding all requirements before designing experiments is crucial to avoid misinterpretation3. Plot data carefully, using appropriate scales, and always include error bars representing statistical uncertainty.
Purifying cell surface glycoproteins like SPCC188.09c requires specialized approaches to maintain native structure and glycosylation patterns. Implement this optimized protocol:
Membrane preparation:
Harvest cells in mid-log phase (OD600 0.5-0.7)
Wash with cold buffer containing protease inhibitors
Disrupt cells using glass bead homogenization (8-10 cycles, 30 seconds each)
Separate membrane fraction via ultracentrifugation (100,000g, 1 hour)
Detergent solubilization optimization:
Test panel of detergents at various concentrations:
Mild: Digitonin (0.5-1%), DDM (0.5-1%)
Moderate: CHAPS (0.5-2%), Triton X-100 (0.5-1%)
Strong: SDS (0.1-0.5%), Sarkosyl (0.5-1%)
Solubilize at 4°C for 1-2 hours with gentle rotation
Affinity purification options:
For tagged proteins: Use appropriate affinity resin (Ni-NTA for His-tag)
For native protein: Consider lectin affinity (ConA, WGA) targeting glycan moieties
Elute using competitive binding or pH/salt gradients
Further purification and analysis:
Size exclusion chromatography to separate oligomeric states
Ion exchange chromatography for additional purity
Glycosylation analysis using PNGase F or similar enzymes
After purification, verify identity using mass spectrometry and assess purity by SDS-PAGE. For glycosylation analysis, compare migration patterns before and after deglycosylation treatments.
To investigate potential interactions between SPCC188.09c and other cell surface proteins, employ a multi-technique approach:
In vivo interaction studies:
Bimolecular Fluorescence Complementation (BiFC):
Fuse SPCC188.09c to N-terminal half of Venus/YFP
Fuse candidate interacting proteins to C-terminal half
Analyze reconstituted fluorescence using microscopy
Proximity-dependent biotin identification (BioID):
Fuse SPCC188.09c to a promiscuous biotin ligase (BioID2)
Purify biotinylated proteins using streptavidin
Identify by mass spectrometry
In vitro binding assays:
Surface Plasmon Resonance (SPR):
Immobilize purified SPCC188.09c on sensor chip
Flow potential binding partners at varying concentrations
Determine binding kinetics (kon, koff, KD)
Pull-down assays:
Express GST-tagged SPCC188.09c
Incubate with cell lysates or purified candidate proteins
Identify binding partners by immunoblotting or mass spectrometry
When designing these experiments, create appropriate controls:
Use unrelated membrane protein as negative control
Include known interacting protein pairs as positive control
Generate predicted non-binding mutants of SPCC188.09c
Present interaction data in a clear table format:
| Candidate Protein | Technique | Interaction Strength | Binding Parameters |
|---|---|---|---|
| Protein X | BiFC | Strong (>80% cells) | N/A |
| Protein Y | SPR | Moderate | KD = XX μM |
| Protein Z | Pull-down | Weak | N/A |
To reduce experimental uncertainty, perform multiple trials and vary experimental conditions systematically3.
To conduct a comprehensive comparative analysis of SPCC188.09c with homologs in other yeasts, implement the following methodological approach:
Sequence-based analysis:
Perform BLAST and HMMer searches against fungal proteomes
Generate multiple sequence alignments using MUSCLE or MAFFT
Construct phylogenetic trees using maximum likelihood methods
Structural prediction and comparison:
Generate 3D structure predictions using AlphaFold or RoseTTAFold
Compare predicted structures using DALI or TM-align
Identify conserved structural motifs and functional domains
Experimental validation:
Test functional complementation by expressing homologs in S. pombe
Analyze localization patterns of homologs when expressed in S. pombe
Compare phenotypes of corresponding gene deletions across species
While S. pombe and S. cerevisiae are both yeasts, they are evolutionarily distant, with many proteins showing divergent functions despite sequence similarity . This comparison is particularly valuable as S. pombe aspects are often more similar to humans than those of S. cerevisiae, including more complex centromeres, origins of replication, and certain histone modifications .
Create a comparative table highlighting key differences:
| Feature | SPCC188.09c (S. pombe) | Homolog in S. cerevisiae | Homolog in C. albicans |
|---|---|---|---|
| Protein length | XXX aa | XXX aa | XXX aa |
| Domain architecture | [List domains] | [List domains] | [List domains] |
| Glycosylation sites | [Number and type] | [Number and type] | [Number and type] |
| Localization | Cell surface | [Location] | [Location] |
| Deletion phenotype | [Phenotype] | [Phenotype] | [Phenotype] |
To investigate potential roles of SPCC188.09c in meiotic recombination, design experiments that leverage S. pombe's strengths as a model for recombination studies:
Recombination frequency analysis:
Create strains with genetic markers flanking potential recombination sites
Induce meiosis by nitrogen starvation
Measure recombination frequency in wild-type vs. SPCC188.09c deletion strains
Analyze at least 1000 tetrads per condition for statistical significance
Cytological analysis of recombination intermediates:
Visualize Rad51 foci formation by immunofluorescence
Track double-strand break (DSB) formation using Southern blotting
Monitor crossover formation using physical assays
Protein interactions during meiosis:
Perform co-immunoprecipitation with known recombination factors
Use ChIP-seq to identify potential binding sites on chromatin
Analyze timing of SPCC188.09c recruitment to meiotic chromosomes
S. pombe offers special advantages for these studies because even the strongest meiotic recombination-deficient mutants produce viable spores at rates of 10-25% compared to wild-type . This occurs because S. pombe has only three chromosomes and possesses a mechanism for actively segregating non-recombinant chromosomes at MI .
For experimental design, follow these methodological principles:
Include appropriate positive controls (e.g., rec12 deletion for reduced recombination)
Design experiments with sufficient statistical power (minimum 3 biological replicates)
Use multiple independent SPCC188.09c mutant strains to confirm phenotypes
Several cutting-edge technologies offer promising approaches for deeper investigation of SPCC188.09c function:
Proximity proteomics approaches:
TurboID-based proximity labeling in living cells
Implementation protocol:
Fuse TurboID to SPCC188.09c
Express in S. pombe under native or regulated promoter
Add biotin for short pulses (10 minutes)
Purify biotinylated proteins and identify by mass spectrometry
Single-cell technologies:
Single-cell RNA-seq to identify transcriptional changes in SPCC188.09c mutants
Single-cell proteomics to analyze protein expression variability
Methodology:
Prepare protoplasts using optimized enzymatic digestion
Sort single cells using microfluidic devices
Process using appropriate single-cell platform
Cryo-electron tomography:
Visualize native cell wall and membrane architecture
Compare wild-type and SPCC188.09c mutant cells
Technical approach:
Prepare cells by high-pressure freezing
Acquire tomograms of cell periphery
Perform subtomogram averaging of repetitive structures
Genome-wide interaction screens:
CRISPR interference (CRISPRi) screens in SPCC188.09c background
Synthetic genetic array analysis with SPCC188.09c as query
When implementing these technologies, design experiments carefully to reduce experimental uncertainty through multiple trials and systematic variation of experimental parameters3.